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Characterization of Multiple 3D LiDARs for Localization and Mapping Performance using the NDT Algorithm.

, , , , , , , , and . IV Workshops, page 327-334. IEEE, (2021)

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A 3-D Scan Matching using Improved 3-D Normal Distributions Transform for Mobile Robotic Mapping., and . IROS, page 3068-3073. IEEE, (2006)Robust virtual scan for obstacle Detection in urban environments., , , and . Intelligent Vehicles Symposium, page 683-690. IEEE, (2016)Precise and efficient model-based vehicle tracking method using Rao-Blackwellized and scaling series particle filters., , , and . IROS, page 117-124. IEEE, (2016)Multi sensor map building based on sparse linear equations solver., and . IROS, page 2511-2518. IEEE, (2008)Localization and Place Recognition Using an Ultra-Wide Band (UWB) Radar., , and . FSR, volume 105 of Springer Tracts in Advanced Robotics, page 275-288. Springer, (2013)Real-Time Streaming Point Cloud Compression for 3D LiDAR Sensor Using U-Net., , , and . IEEE Access, (2019)Sensor observation area compensating path planning for avoiding collisions with unknown obstacles., , , and . ROBIO, page 843-848. IEEE, (2014)GPS measurement model with satellite visibility using 3D map for particle filter., , , and . ROBIO, page 590-595. IEEE, (2011)Characterization of Multiple 3D LiDARs for Localization and Mapping Performance using the NDT Algorithm., , , , , , , , and . IV Workshops, page 327-334. IEEE, (2021)Path planning with observation prediction to avoid collisions with unknown dynamic obstacles., , , and . SII, page 629-633. IEEE, (2015)